دانلود کتاب Recommendation Engines

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Contents
Series Foreword
Introduction
1: What Recommenders Are/Why Recommenders Matter
Why Recommendation Engines Matter . . .
Data-Rich Recommendation; Recommendation-Rich Data
2: On the Origins of Recommendation
3: A Brief History of Recommendation Engines
The Netflix Prize
4: How Recommenders Work
Comparing Similarity
Most Popular
Association Rules and Market Basket Models
Content Filtering, Collaborative Filtering, and Hybrids
Dimensionality’s Curse and Latent Factor Insight
Machine Learning, Bandits, and Explanation
5: Experiencing Recommendations
Choice Architecture
Recommending Visualization/Visualizing Recommendation
6: Recommendation Innovators
Spotify
ByteDance
Stitch Fix
7: The Recommender Future
Agency, Not Agents
Acknowledgments
Glossary
Notes
Introduction
Chapter 1
Chapter 2
Chapter 3
Chapter 4
Chapter 5
Chapter 6
Chapter 7
Further Reading
Index